class_docstr: See mmdet.models.backbones.MobileNetV2 for details.
  
  Args:
      pooling_layers (list): List of indices of pooling layers.
      init_cfg (InitConfigType, optional): Initialization config dict.
docstr: Forward function.
docstr_tok: ["Forward","function","."]
code: def forward(self, x: Tensor) -> Tensor:
      """Forward function."""
  
      x = self.conv1(x)
      for i, layer_name in enumerate(self.layers):
          layer = getattr(self, layer_name)
          x = layer(x)
          if i in self.pooling_layers:
              x = self.pooling(x)
  
      return x
  
file_path: mmocr/mmocr/models/textrecog/backbones/mobilenet_v2.py
imports: from typing import List
  import torch.nn
  from mmdet.models.backbones import MobileNetV2
  from torch import Tensor
  from mmocr.registry import MODELS
  from mmocr.utils.typing_utils import InitConfigType
label_desc: Use image node_id 2 for calling the MobileNetV2 obj's underlying member method code with example usage: obj.forward(x) and returns: x